Emotion Stimulus Detection in German News Headlines

Dang}, {Bao Minh} {Doan; Oberländer, Laura; Klinger, Roman

doi:10.48550/arxiv.2107.12920

Cited by 1 publication

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“…These results demonstrated the effectiveness of the proposed method for sentiment analysis of Arabic articles and suggested that identifying opinion sentences related to the article's target before using an opinion lexicon can improve accuracy. The studies by (Bostan, Kim, & Klinger, 2020) and (Dang, Oberlander, & Klinger, 2021) are connected to those (Kaur & Saini, 2014) through their common focus on sentiment analysis and emotion detection. While the former two studies focused on the development of annotated datasets and machine learning models for analyzing ‫اإلعالم‬ ‫لبحوث‬ ‫المصرية‬ ‫المجلة‬ -‫العدد‬ 38 ‫يونيو‬ / ‫أبريل‬ ‫الثاني)‬ ‫(الجزء‬ 0208 13 emotions in news headlines in English and German languages, the latter study aimed to compare the effectiveness of different machine learning techniques in sentiment classification in formal and informal text in multiple international languages.…”

Section: Research Importancementioning

confidence: 99%

تحليل السيميائية البصرية للصور والعاطفة في عناوين الصحف:

عبد العزيز

2023

المجلة المصرية لبحوث الأعلام

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This study investigates the interplay between visual semiotics and sentiment analysis in newspaper coverage of two significant events: Roger Federer's retirement and Queen Elizabeth's death. The research addresses the underexplored area of how visual elements, when combined with sentiment analysis of headlines, contribute to the portrayal of emotions and public sentiment surrounding significant events. While sentiment analysis in headlines has been extensively studied, the role of visual semiotics in shaping sentiment has received limited attention. By employing a qualitative approach that blends visual semiotics and sentiment analysis, this research aims to bridge this gap. The study examines front-page headlines and accompanying photographs from newspapers across various countries during the aftermath of these events. Visual semiotics analysis focuses on compositional elements, colors, shapes, and symbols in the photographs, while sentiment analysis assesses emotional valence in headlines through a lexicon-based approach. This combined methodology offers a comprehensive understanding of how media constructs and conveys emotions. The findings reveal a nuanced relationship between visual semiotics and sentiment in headlines. In Roger Federer's retirement coverage, visual elements like facial expressions, colors, and symbols are employed to evoke nostalgia and honor, aligning with sentiments expressed in the headlines. Similarly, in the Queen Elizabeth's death coverage, the use of black and white, solemn expressions, and symbolic placement reinforce sentiments of mourning and respect.

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Section: Research Importancementioning

confidence: 99%

تحليل السيميائية البصرية للصور والعاطفة في عناوين الصحف:

عبد العزيز

2023

المجلة المصرية لبحوث الأعلام

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Emotion Stimulus Detection in German News Headlines

Cited by 1 publication

References 0 publications

تحليل السيميائية البصرية للصور والعاطفة في عناوين الصحف:

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